Speaker Dependent / Speaker Independent
Speech recognition is classified into two categories, speaker dependent and speaker independent. Speaker dependent systems are trained by the individual who will be using the system. These systems are capable of achieving a high command count and better than 95% accuracy for word recognition. The drawback to this approach is that the system only responds accurately only to the individual who trained the system. This is the most common approach employed in software for personal computers. Speaker independent is a system trained to respond to a word regardless of who speaks. Therefore the system must respond to a large variety of speech patterns, inflections and enunciation's of the target word. The command word count is usually lower than the speaker dependent however high accuracy can still be maintain within processing limits. Industrial requirements more often need speaker independent voice systems, such as the AT&T system used in the telephone systems.
Recognition Style
Speech recognition systems have another constraint concerning the style of speech they can recognize. They are three styles of speech: isolated, connected and continuous. Isolated speech recognition systems can just handle words that are spoken separately. This is the most common speech recognition systems available today. The user must pause between each word or command spoken. The speech recognition circuit is set up to identify isolated words of .96 second lengths. Connected is a half way point between isolated word and continuous speech recognition. Allows users to speak multiple words. The HM2007 can be set up to identify words or phrases 1.92 seconds in length. This reduces the word recognition vocabulary number to 20. Continuous is the natural conversational speech we are use to in everyday life. It is extremely difficult for a recognizer to shift through the text as the word tend to merge together. For instance, "Hi, how are you doing?" sounds like "Hi,.howyadoin" Continuous speech recognition systems are on the market and are under continual development.
Speech Recognition Software
Do you make time to talk to your Arduino? Maybe you should! The EasyVR Shield is a voice recognition shield for Arduino boards integrating an EasyVR module. It includes all of the features of the EasyVR module in a shield form factor that simplifies connection to the Arduino main board and PC. EasyVR is a multi-purpose speech recognition module designed to add versatile, robust and cost effective speech and voice recognition capabilities to virtually any application. EasyVR is the second generation version of the successful VRbot module and builds on the features and functionality of its predecessor. In addition to the EasyVR features like 32 user-defined Speaker Dependent (SD) triggers and a host of built-in speaker independent (SI) commands, the shield has additional connectors for the microphone input, an 8 ohm speaker output, audio line-out/headphone jack, and access to the I/O pins of the EasyVR module. A programmable LED is also included to show feedback during recognition tasks. A simple and robust serial protocol (9600 8-N-1 default) can be used to access these functions from the Arduino board. Check out the video below of the EasyVR Shield being used to control a servo motor. You may refer to this video for a demo on EasyVR Shield for Arduino:
Speech recognition is classified into two categories, speaker dependent and speaker independent. Speaker dependent systems are trained by the individual who will be using the system. These systems are capable of achieving a high command count and better than 95% accuracy for word recognition. The drawback to this approach is that the system only responds accurately only to the individual who trained the system. This is the most common approach employed in software for personal computers. Speaker independent is a system trained to respond to a word regardless of who speaks. Therefore the system must respond to a large variety of speech patterns, inflections and enunciation's of the target word. The command word count is usually lower than the speaker dependent however high accuracy can still be maintain within processing limits. Industrial requirements more often need speaker independent voice systems, such as the AT&T system used in the telephone systems.
Recognition Style
Speech recognition systems have another constraint concerning the style of speech they can recognize. They are three styles of speech: isolated, connected and continuous. Isolated speech recognition systems can just handle words that are spoken separately. This is the most common speech recognition systems available today. The user must pause between each word or command spoken. The speech recognition circuit is set up to identify isolated words of .96 second lengths. Connected is a half way point between isolated word and continuous speech recognition. Allows users to speak multiple words. The HM2007 can be set up to identify words or phrases 1.92 seconds in length. This reduces the word recognition vocabulary number to 20. Continuous is the natural conversational speech we are use to in everyday life. It is extremely difficult for a recognizer to shift through the text as the word tend to merge together. For instance, "Hi, how are you doing?" sounds like "Hi,.howyadoin" Continuous speech recognition systems are on the market and are under continual development.
Speech Recognition Software
Do you make time to talk to your Arduino? Maybe you should! The EasyVR Shield is a voice recognition shield for Arduino boards integrating an EasyVR module. It includes all of the features of the EasyVR module in a shield form factor that simplifies connection to the Arduino main board and PC. EasyVR is a multi-purpose speech recognition module designed to add versatile, robust and cost effective speech and voice recognition capabilities to virtually any application. EasyVR is the second generation version of the successful VRbot module and builds on the features and functionality of its predecessor. In addition to the EasyVR features like 32 user-defined Speaker Dependent (SD) triggers and a host of built-in speaker independent (SI) commands, the shield has additional connectors for the microphone input, an 8 ohm speaker output, audio line-out/headphone jack, and access to the I/O pins of the EasyVR module. A programmable LED is also included to show feedback during recognition tasks. A simple and robust serial protocol (9600 8-N-1 default) can be used to access these functions from the Arduino board. Check out the video below of the EasyVR Shield being used to control a servo motor. You may refer to this video for a demo on EasyVR Shield for Arduino:
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